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batterybert

BatteryBERT: A Pre-trained Language Model for Battery Database Enhancement

biodivbert

BERT for Biodiversity domain including 2 downstream tasks: Named Entity Recognition (NER) and Relation Extraction (RE)

clould_picgo

cogltx

The source code of NeurIPS 2020 paper "CogLTX: Applying BERT to Long Texts"

composable-sft

A library for parameter-efficient and composable transfer learning for NLP with sparse fine-tunings.

darwin

data_science_notebooks

docred

Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

entity-relation-as-multi-turn-qa

Code for ACL 2019 : Entity-Relation Extraction as Multi-Turn Question Answering

fastchat

An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.

globalpointer_pytorch

全局指针统一处理嵌套与非嵌套NER的Pytorch实现

hnct

huatuo-llama-med-chinese

Repo for HuaTuo (华驼), Llama-7B tuned with Chinese medical knowledge. 华驼模型仓库，基于中文医学知识的LLaMA模型指令微调

hugnlp

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊

kdd2022clare

Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"

litbank

Annotated dataset of 100 works of fiction to support tasks in natural language processing and the computational humanities.

llama

Inference code for LLaMA models

llama-adapter

Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

md_notes_picture

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

naacl2019-literary-entities

Code to support Bamman et al. (2019), "An Annotated Dataset of Literary Entities" (NAACL)

node2vec

onedrive

Free Client for OneDrive on Linux

paper_notes

pl-marker

Source code for "Packed Levitated Marker for Entity and Relation Extraction"

pure

NAACL'2021: A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812

pytorch_neural_crf

Pytorch implementation of LSTM/BERT-CRF for named entity recognition

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

study_notes